Jay Whang - RankMe

16 papers A* 4A 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Neural Distributed Source Coding. IEEE J. Sel. Areas Inf. Theory Jay Whang, Alliot Nagle, Anish Acharya, Hyeji Kim, Alexandros G. Dimakis
2023	J	`jnl`	Model-Based Deep Learning. Proc. IEEE Nir Shlezinger, Jay Whang, Yonina C. Eldar, Alexandros G. Dimakis
2022	A*	`conf`	Deblurring via Stochastic Refinement. CVPR Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar
2022	J	`jnl`	Imagen Video: High Definition Video Generation with Diffusion Models. CoRR Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey A. Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, Tim Salimans
2022	A*	`conf`	Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. NeurIPS Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L. Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi
2022	J	`jnl`	Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. CoRR Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Raphael Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi
2021	A*	`conf`	Composing Normalizing Flows for Inverse Problems. ICML Jay Whang, Erik M. Lindgren, Alex Dimakis
2021	J	`jnl`	Deblurring via Stochastic Refinement. CoRR Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar
2021	J	`jnl`	Neural Distributed Source Coding. CoRR Jay Whang, Anish Acharya, Hyeji Kim, Alexandros G. Dimakis
2021	A*	`conf`	Solving Inverse Problems with a Flow-based Noise Model. ICML Jay Whang, Qi Lei, Alex Dimakis
2020	J	`jnl`	Compressed Sensing with Invertible Generative Models and Dependent Noise. CoRR Jay Whang, Qi Lei, Alexandros G. Dimakis
2020	J	`jnl`	Conditional Sampling from Invertible Generative Models with Applications to Inverse Problems. CoRR Erik M. Lindgren, Jay Whang, Alexandros G. Dimakis
2020	J	`jnl`	Model-Based Deep Learning. CoRR Nir Shlezinger, Jay Whang, Yonina C. Eldar, Alexandros G. Dimakis
2019	A	`conf`	Training Variational Autoencoders with Buffered Stochastic Variational Inference. AISTATS Rui Shu, Hung H. Bui, Jay Whang, Stefano Ermon
2019	J	`jnl`	Training Variational Autoencoders with Buffered Stochastic Variational Inference. CoRR Rui Shu, Hung H. Bui, Jay Whang, Stefano Ermon
2018	J	`jnl`	Strategic Object Oriented Reinforcement Learning. CoRR Ramtin Keramati, Jay Whang, Patrick Cho, Emma Brunskill